Identification of Chemicals in Fruits and Vegetables using IOT

Authors

  • Akula Venkata Narayana  B. Tech, CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu,
  • Bolla Jawahar Sri Veera Sai Suraj  Associate Professor, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India
  • Yallavula Sai Prakash  Associate Professor, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India
  • Dr. Gokulnath C  Associate Professor, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, India

Keywords:

GSM, Commodities, Consumption, and Perishable.

Abstract

Due to their great nutritional value, fruits and vegetables constitute an important part in human food diets. They have a short shelf life, making them very perishable. Fruits and vegetables are the important source of carbohydrates, proteins, and minerals. According to various reports, nowadays many food products are contaminated with harmful and dangerous chemical ingredients. To detect that, gas sensor has placed and estimate the chemical levels present in fruits and vegetables. If any chemicals detected immediate alert is sent through GSM to the owner. In most of the hostel mess and government schools’ kitchen everybody is getting affected by the food they consume. Milk, fruits like banana and other foods used in daily life, as all of them do not offer quality since their moisture harmful gases vary from time to time. To ensure food safety it should be monitored at every stage of the chain.

References

  1. Cozma, P., et al. Overview of human health hazards posed by pesticides in plant products. in 2017 E-Health and Bioengineering Conference (EHB). 2017. IEEE.
  2. Zhao, X., et al., Detecting and mapping harmful chemicals in fruit and vegetables using nanoparticle-enhanced laser-induced breakdown spectroscopy. 2019. 9(1): p. 1-10.
  3. Pandya, I.Y.J.A.J.A.S.T., Pesticides and their applications in agriculture. 2018. 2(2): p. 894-900.
  4. Szadzińska, J., et al., Microwave-and ultrasound-assisted convective drying of raspberries: Drying kinetics and microstructural changes. 2019. 37(1): p. 1-12.
  5. Yadav, I.C. and N.L.J.E.S.E. Devi, Pesticides classification and its impact on human and environment. 2017. 6: p. 140-158.
  6. Yadav, I.C., et al., Current status of persistent organic pesticides residues in air, water, and soil, and their possible effect on neighboring countries: A comprehensive review of India. 2015. 511: p. 123-137.
  7. Food, A.O.P.o.E.o.P.R.i., et al., Pesticide residues in food: 1998: Evaluations. Residues. Vol. 2. 1999: World Health Organization.
  8. Arrutia, F., et al., Development of a continuous-flow system for microwave-assisted extraction of pectin-derived oligosaccharides from food waste. 2020. 395: p. 125056.
  9. Madhav, M.U., D.N. Jyothi, and P. Kalyani. Prediction of pesticides and identification of diseases in fruits using Support Vector Machine (SVM) and IoT. in AIP Conference Proceedings. 2021. AIP Publishing LLC.
  10. Gnanavel, S., et al. Quality detection of fresh fruits and vegetables to improve horticulture and agro-industries. in 2019 International Conference on contemporary Computing and Informatics (IC3I). 2019. IEEE.
  11. Devi, D., et al. IoT-deep learning based prediction of amount of pesticides and diseases in fruits. in 2020 International Conference on Smart Electronics and Communication (ICOSEC). 2020. IEEE.
  12. Kaur, N., et al., Advanced green analytical chemistry for environmental pesticide detection. 2021. 30: p. 100488.
  13. Shirley, D.J.I.J.o.P.R.i.S. and Engineering, Detection and Estimation of Pesticides Residue Using a Smart Pen. 2020. 1(3): p. 26-31.
  14. Altemimi, A., et al., Phytochemicals: Extraction, isolation, and identification of bioactive compounds from plant extracts. 2017. 6(4): p. 42.
  15. Sreeraj, M., et al., CLadron*: AI assisted device for identifying artificially ripened climacteric fruits. 2020. 171: p. 635-643.
  16. Srivastava, D., et al., Measurement of Temperature and Humidity by using Arduino Tool and DHT11. 2018. 5(12): p. 876-878.
  17. Rani, S.U., et al., Real-Time Air Quality Monitoring System Using MQ-135 and Thingsboard. 2020. 7(18): p. 4107-4115.

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Published

2022-12-30

Issue

Section

Research Articles

How to Cite

[1]
Akula Venkata Narayana, Bolla Jawahar Sri Veera Sai Suraj, Yallavula Sai Prakash, Dr. Gokulnath C, " Identification of Chemicals in Fruits and Vegetables using IOT" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 6, pp.590-599, November-December-2022.